Returns analytics

Returns analytics that cut your return rate at the source

Every return is lost margin and a disappointed customer. WISEPIM shows return rate and refunded revenue by product, then reveals how missing sizes, thin descriptions and weak images push returns up, so you fix the cause, not just the symptom.

Per-SKU
Return rate tracked
A–F
Quality-band correlation
Why it matters

Returns aren't a logistics problem, they start with your data

Shoppers return what doesn't match their expectations. A vague description, a missing size chart or a single low-resolution image is enough to turn a sale into a refund, and most stores only see returns after the money is gone.

WISEPIM tracks return rate and refunded revenue for every product, then correlates it with your AI content-quality grade. The pattern is hard to miss: products in the lowest quality bands return far more often than well-described ones.

That turns returns from a cost you absorb into a problem you can fix. Find the high-return, low-quality products, enrich them in one click, and watch both your refund line and your customer satisfaction improve.

How it works

How to analyse returns in WISEPIM

From scattered refund data to a prioritised fix list in four steps.

1

Connect your orders

Sync Shopify, WooCommerce, Magento, Lightspeed and more. Orders, returns and refunds flow in automatically.

2

See return rate by product

Rank every product by return rate and refunded revenue, so the biggest offenders surface first.

3

Read the quality correlation

Compare returns across A–F content-quality bands and reasons, and confirm where weak data is driving refunds.

4

Fix the root cause

Enrich descriptions, add sizing and attributes, or improve images in one click, then track the return rate down.

What you'll learn

Questions this report answers

Understand why customers return, and stop it before it happens.

Which products have the highest return rate and refunded revenue?

How much revenue am I losing to returns each period?

Do poorly described products really get returned more often?

Which return reasons are most common, and for which items?

Which high-return products are cheapest to fix with better data?

Is my return rate trending up or down over time?

The payoff

Fewer returns, more kept revenue

Cutting return rate is one of the fastest ways to protect margin you've already earned.

Lower

Return rate

Fix the missing content that causes returns instead of repeatedly eating the refund.

Keep

Hard-won revenue

Every avoided return is margin you keep and a customer who stays happy.

Target

The right products

Spend effort on the high-return, low-quality items where fixes pay back fastest.

FAQs

Read the analytics docs

Step-by-step guides, best practices and worked examples for every WISEPIM report.

Step-by-step guidesBest practicesFull reference
Read the Docs

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